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Selective cortical representation of attended speaker in multi-talker speech perception

Author

Listed:
  • Nima Mesgarani

    (UCSF Center for Integrative Neuroscience, University of California)

  • Edward F. Chang

    (UCSF Center for Integrative Neuroscience, University of California)

Abstract

The neural correlates of how attended speech is internally represented are described, shedding light on the ‘cocktail party problem’.

Suggested Citation

  • Nima Mesgarani & Edward F. Chang, 2012. "Selective cortical representation of attended speaker in multi-talker speech perception," Nature, Nature, vol. 485(7397), pages 233-236, May.
    • Handle: RePEc:nat:nature:v:485:y:2012:i:7397:d:10.1038_nature11020
    DOI: 10.1038/nature11020
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    Cited by:

    1. Sahar Akram & Bernhard Englitz & Mounya Elhilali & Jonathan Z Simon & Shihab A Shamma, 2014. "Investigating the Neural Correlates of a Streaming Percept in an Informational-Masking Paradigm," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-23, December.
    2. Brian R. W. Baucom & Panayiotis Georgiou & Craig J. Bryan & Eric L. Garland & Feea Leifker & Alexis May & Alexander Wong & Shrikanth S. Narayanan, 2017. "The Promise and the Challenge of Technology-Facilitated Methods for Assessing Behavioral and Cognitive Markers of Risk for Suicide among U.S. Army National Guard Personnel," IJERPH, MDPI, vol. 14(4), pages 1-18, March.
    3. Giovanni M. Di Liberto & Adam Attaheri & Giorgia Cantisani & Richard B. Reilly & Áine Ní Choisdealbha & Sinead Rocha & Perrine Brusini & Usha Goswami, 2023. "Emergence of the cortical encoding of phonetic features in the first year of life," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Takuya Isomura & Kiyoshi Kotani & Yasuhiko Jimbo & Karl J. Friston, 2023. "Experimental validation of the free-energy principle with in vitro neural networks," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    5. Nathaniel J Zuk & Jeremy W Murphy & Richard B Reilly & Edmund C Lalor, 2021. "Envelope reconstruction of speech and music highlights stronger tracking of speech at low frequencies," PLOS Computational Biology, Public Library of Science, vol. 17(9), pages 1-32, September.

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